Hypothesis Testing
- Comparing the results with hypothesis and human
- Here is the list of questions:
H3:
- Effects on representation-directed coping efforts: The lower the
ambiguity of the stressful situation then
- 3.1) the more limited the serach for information, and
- 3.2) the more the subject will surppress information about the
stressor.


Act as a person with depression
Within Models Across Setups
- Setup: Individual/Batch (2) x Before/After (2) x Choice/Num (2) =
8
- Two views: between setups (testing hypo) and within setup (comparing
similarity)
Between setups
Results in the main text

Hypotheses Testing Results
- A Heatmap/table shows the number of setups for a given model align
with hypotheses for different theshold values
- Regression is fitted in a similar as the Perrez work, specifically
fitting the interaction effect between type and time.
- We decide to not report these in the main text because of the
following reasons:
- First, if we were to report any results based on any cutoff
threshold, this wouldn’t be fair to the model due ot the fact that they
only have 9 data point per condition. In addition, one could argue that
with temperature = 0, you are always going to get the same results.
Therefore, you can collect 100 more data and the mean would be the same
but SE would limit to 0.
- Second, hence, one may argue that then looking at the sign/direction
would be enough. However, we feel that this would also going to bias the
view since presenting with only sign results ignore magnitude which
clearly differs from human.
- Therefore, we decide to not inlcude the following results in the
main paper.
- To address this problem, the future work will look at temperature
!=0 and repeat multiple times (require time and money)
- Another way to address this problem is to get new human data so we
can compare magtinude of human and models.
## Using question as id variables

## Using question as id variables

## Using question as id variables

## Using question as id variables
